Emitting and controlling ultra-low frequency underwater acoustic waves using a marine vibration system with time interfacing. [PDF]
Huang X+4 more
europepmc +1 more source
Organic Photo‐Responsive Piezoelectric Materials Based on Pyrene Molecules for Flexible Sensors
An organic, pyrene‐based non‐centrosymmetric crystal, PyPT, is introduced, showcasing excellent piezoelectric behavior with a high‐output electrical signal, rapid response time, and a substantial piezoelectric coefficient. The piezoelectric sensors demonstrate the ability to recognize physical sound characteristics ‐ such as amplitude, frequency, and ...
Xinyi Song+11 more
wiley +1 more source
Design of phononic crystal for enhancing low-frequency sound absorption in mufflers. [PDF]
Bai Y, Chen Y, Zheng J.
europepmc +1 more source
Thermal conductivity, a fundamental property of lithium niobate, plays a pivotal role in determining its device performance. By integrating experiments with machine‐learning‐assisted simulations, this study demonstrates that oxygen vacancies induced by thermal reduction result in a pronounced suppression of thermal conductivity and a marked depth ...
Yunjia Bao+7 more
wiley +1 more source
Design of Bi-Material Triangle Curved Beam Honeycomb Metamaterial with Tunable Poisson's Ratio, Thermal Expansion, and Band Gap Characteristics. [PDF]
Wang Z, Cheng Y, Zhao H, Zhang H.
europepmc +1 more source
CH3O‐PEABr Passivated Quasi‐2D Perovskite BA2Cs4Pb5Br16 Thin Film for Green Light‐Emitting Diodes
Green quasi‐2D perovskite LEDs based on CH3O‐PEABr modified BA2Cs4Pb5Br16 films achieve a peak EQE of 19.47%. The suppressed defect density enables high‐performance electroluminescence, offering a scalable strategy for efficient and durable electroluminescent devices.
Yuxin Liu+5 more
wiley +1 more source
Crack Sealing in Concrete with Biogrout: Sustainable Approach to Enhancing Mechanical Strength and Water Resistance. [PDF]
Wang J+7 more
europepmc +1 more source
Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods
A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun+4 more
wiley +1 more source
Broadband Acoustic Purcell Effect from Collective Bound States in the Continuum. [PDF]
Huang S+6 more
europepmc +1 more source
Machine learning applications in Li‐ion batteries. Abstract Technology for lithium‐ion batteries (LIBs) is developing rapidly, which is essential to modern devices and renewable energy sources. The latest development focuses on the optimization of cathode materials, which is critical in determining battery performance and durability.
Adil Saleem+3 more
wiley +1 more source